Fuzzy Breast Cancer Risk Assessment

Fuzzy Breast Cancer Risk Assessment

Author Ribeiro, Aniele C. Google Scholar
Silva, Deborha P. Google Scholar
Araujo, Ernesto Autor UNIFESP Google Scholar
IEEE Google Scholar
Institution FCMMG
Universidade Federal de São Paulo (UNIFESP)
Inteligencia Artificial Med & Saude Ltda IAMED
Abstract A breast cancer risk assessment based on fuzzy set theory and fuzzy logic is proposed in this paper. The proposed fuzzy breast cancer system maps two controlled and two non-controlled input variables into the risk of breast cancer occurrence. Such an approach covers the age, menopause, simplified fuzzy body mass index (FBMI), and the existence of hormone replacement as input linguistic variable. The risk of a woman developing breast cancer is the outcome of the proposed fuzzy breast cancer risk analysis. The resulting fuzzy breast cancer diagnostic decision system for helping support to evaluate patients with such a clinical condition is an alternative to support healthcare professionals in such a complex health diagnosis.
Language English
Date 2014-01-01
Published in 2014 Ieee International Conference On Fuzzy Systems (fuzz-ieee). New York: Ieee, p. 1083-1087, 2014.
ISSN 1544-5615 (Sherpa/Romeo, impact factor)
Publisher Ieee
Extent 1083-1087
Origin http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891888
Access rights Closed access
Type Conference paper
Web of Science ID WOS:000350793500155
URI http://repositorio.unifesp.br/11600/41938

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